In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

This study evaluates the efficiency of peripheral European domestic banks and examines
the effects of bank-risk determinants on their performance over 2007–2014. Data …

Our study contributes to the empirical literature in two ways: 1) We propose an innovative
Data Envelopment Analysis (DEA) model to estimate the cost efficiency of Chinese banks; 2) …

Discrete stochastic multi-criteria decision-making (MCDM) can be used to handle many real-
life decision-making problems. The Evaluation Based on Distance from Average Solution …

According to recent figures from the State Bank of Pakistan (SBP), since 2006, commercial
banks' non-performing loans (NPLs) have significantly risen. To this end, the primary …

South Asia primarily consists of developing economies with diverse financial systems. The
commercial banking industry plays a crucial role in each country's financial development in …

Conventional super-efficiency data envelopment analysis (DEA) models require the exact
information of inputs or outputs. However, in many real world applications this simple …

Purpose The purpose of this study is to propose a novel super-efficiency DEA model to
appraise the relative efficiency of DMUs with zero data and stochastic data. Our model can …

Decision makers (DMs) face different levels of uncertainty throughout the decision making
process. In particular, natural language is generally subjective or ambiguous when used to …

The FinTech phenomenon is undoubtedly increasingly changing the morphology of the
global financial system, as well as the existing competitive levers in particular sectors …